PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-13 10:20:06.502837+00:00 (UTC)
In US/Central Time, this is 2024-07-13 05:20:06.502837-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/423c70acda7dfdf72462fd15b9cab03c24f6c3697175891b8a8a72a40c74cb6d.png
We are just generating a random time serie here.
../_images/650bb4eb807a4662c761b4f48dd7833ef13e5957eea03b2490568646d025da13.png
../_images/188810ac531de00eeb8424127f4a75c41f2660c7899c8f464c8254335ea2f468.png